private void TrainBtn_Click(object sender, EventArgs e)
{
if (locked)
{
return;
}
double a;
double t;
try
{
a = Convert.ToDouble(Tb1.Text);
t = Convert.ToDouble(Tb2.Text);
}
catch
{
ErrorAnimator.ShowSync(error);
return;
}
error.Hide();
locked = true;
pm = new PerceptronModel(t, a, Input1.GetArray().Length, output1.GetArray().Length, this);
for (int i = 1; i <= MAX; i++)
{
double[] tmpIN = new double[Input1.GetArray().Length];
double[] tmpOUT = new double[output1.GetArray().Length];
bool[] tmp;
DrawControl.DrawBox d1 = (DrawControl.DrawBox) this.Controls.Find("Input" + i, true)[0];
DrawControl.DrawBox d2 = (DrawControl.DrawBox) this.Controls.Find("output" + i, true)[0];
d1.locked = true;
d2.locked = true;
Log.AppendText("Pattern " + i + " \n");
tmp = d1.GetArray();
for (int j = 0; j < tmp.Length; j++)
{
tmpIN[j] = (tmp[j]) ? 1 : 0;
}
tmp = d2.GetArray();
for (int j = 0; j < tmp.Length; j++)
{
tmpOUT[j] = (tmp[j]) ? 1 : -1;
}
Log.AppendText("(" + String.Join(",", tmpIN) + ")\n(" + String.Join(",", tmpOUT) + ")\n\n");
Data d = new Data(tmpIN, tmpOUT);
pm.q.Enqueue(d);
}
pm.GenerateWeight();
pm.Train();
}
private void TrainBtn_Click(object sender, EventArgs e)
{
if (locked)
{
return;
}
locked = true;
ResetBtn.ButtonText = "Stop";
error.Hide();
double a, t, w1, w2;
int m;
try
{
a = Convert.ToDouble(Tb1.Text);
t = Convert.ToDouble(Tb2.Text);
w1 = Convert.ToDouble(Tb3.Text);
w2 = Convert.ToDouble(Tb4.Text);
m = Convert.ToInt16(Tb5.Text);
}
catch
{
ErrorAnimator.ShowSync(error);
return;
}
error.Hide();
ShowLog("Create TLU model with\n");
ShowLog("Max traing round:" + m);
ShowLog("\nLearning Rate:" + a);
ShowLog("\nThreshold:" + t);
ShowLog("\nw1:" + w1);
ShowLog("\nw2:" + w2);
ShowLog("\nTraining Data:\n");
tlu = new TLUmodel(t, a, new Data(w1, w2), m, this);
for (int i = 0; i < XYgraph.Map.Length; i++)
{
if (XYgraph.Map[i] != -1)
{
Point p = XYgraph.ConvertToXY(i);
Console.WriteLine(p.X + " " + p.Y + " v=" + XYgraph.Map[i]);
Data tmp = new Data(p.X * 0.5, p.Y * 0.5, XYgraph.Map[i]);
tlu.q.Enqueue(tmp);
ShowLog("( " + (p.X * 0.5) + " , " + (p.Y * 0.5) + " ) value=" + XYgraph.Map[i] + "\n");
}
}
if (tlu.q.Count > 0)
{
tlu.Train();
}
else
{
ReleaseBtn();
}
}
